Title |
Exosomes derived from tumor cells genetically modified to express Mycobacterium tuberculosis antigen: a novel vaccine for cancer therapy
|
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Published in |
Biotechnology Techniques, August 2016
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DOI | 10.1007/s10529-016-2185-1 |
Pubmed ID | |
Authors |
Yoshiyuki Koyama, Tomoko Ito, Aya Hasegawa, Masazumi Eriguchi, Toshio Inaba, Takahiro Ushigusa, Kikuya Sugiura |
Abstract |
To examine the potential of exosomes derived from the tumor cells, which had been genetically modified to express a Mycobacterium tuberculosis antigen, as a cancer vaccine aimed at overcoming the weak immunogenicity of tumor antigens. We transfected B16 melanoma cells with a plasmid encoding the M. tuberculosis antigen, early secretory antigenic target-6 (ESAT-6). The secreted exosomes bearing both tumor-associated antigens and the pathogenic antigen (or their epitopes) were collected. When the exosomes were injected into foot pads of mice, they significantly (p < 0.05) evoked cellular immunity against both ESAT-6, and B16 tumor cells. Intra-tumoral injection of the exosomes significantly suppressed (p < 0.001) tumor growth in syngeneic B16 tumor-bearing mice, while the exosomes derived from the non-transfected B16 cells showed no effect on tumor growth, although both exosomes should have similar tumor antigens. Exosomes bearing both tumor antigens and the M. tuberculosis antigen (or their epitopes) have a high potential as a candidate for cancer vaccine to overcome the immune escape by tumor cells. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Denmark | 1 | 2% |
Unknown | 52 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 11 | 21% |
Student > Master | 5 | 9% |
Student > Doctoral Student | 5 | 9% |
Professor > Associate Professor | 5 | 9% |
Student > Bachelor | 4 | 8% |
Other | 8 | 15% |
Unknown | 15 | 28% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 11 | 21% |
Medicine and Dentistry | 10 | 19% |
Immunology and Microbiology | 4 | 8% |
Agricultural and Biological Sciences | 3 | 6% |
Computer Science | 3 | 6% |
Other | 8 | 15% |
Unknown | 14 | 26% |